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    ICMLA
    2003
    123views Machine Learning» more  ICMLA 2003»
    The Consolidation of Neural Network Task Knowledge
    13 years 6 months ago
    The Consolidation of Neural Network Task Knowledge
    Download  plato.acadiau.ca
    — Fundamental to the problem of lifelong machine learning is how to consolidate the knowledge of a learned task within a long-term memory structure (domain knowledge) without the...
    Daniel L. Silver, Peter McCracken
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    ICMLA
    2003
    203views Machine Learning» more  ICMLA 2003»
    Fast Class-Attribute Interdependence Maximization (CAIM) Discretization Algorithm
    13 years 6 months ago
    Fast Class-Attribute Interdependence Maximization (CAIM) Discretization Algorithm
    Download  biomine.ece.ualberta.ca
    – Discretization is a process of converting a continuous attribute into an attribute that contains small number of distinct values. One of the major reasons for discretizing an a...
    Lukasz A. Kurgan, Krzysztof J. Cios
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    ICMLA
    2003
    169views Machine Learning» more  ICMLA 2003»
    Robust Support Vector Machines for Anomaly Detection in Computer Security
    13 years 6 months ago
    Robust Support Vector Machines for Anomaly Detection in Computer Security
    Download  www.cs.ucdavis.edu
    — Using the 1998 DARPA BSM data set collected at MIT’s Lincoln Labs to study intrusion detection systems, the performance of robust support vector machines (RVSMs) was compared...
    Wenjie Hu, Yihua Liao, V. Rao Vemuri
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    ICMLA
    2003
    169views Machine Learning» more  ICMLA 2003»
    Reinforcement Learning Task Clustering
    13 years 6 months ago
    Reinforcement Learning Task Clustering
    Download  james.jlcarroll.net
    This work represents the first step towards a task library system in the reinforcement learning domain. Task libraries could be useful in speeding up the learning of new tasks th...
    James L. Carroll, Todd S. Peterson, Kevin D. Seppi
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    ICMLA
    2003
    159views Machine Learning» more  ICMLA 2003»
    A Distributed Reinforcement Learning Approach to Pattern Inference in Go
    13 years 6 months ago
    A Distributed Reinforcement Learning Approach to Pattern Inference in Go
    Download  mysite.verizon.net
    — This paper shows that the distributed representation found in Learning Vector Quantization (LVQ) enables reinforcement learning methods to cope with a large decision search spa...
    Myriam Abramson, Harry Wechsler
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    ICMLA
    2004
    114views Machine Learning» more  ICMLA 2004»
    Planning with predictive state representations
    13 years 6 months ago
    Planning with predictive state representations
    Download  www.eecs.umich.edu
    Predictive state representation (PSR) models for controlled dynamical systems have recently been proposed as an alternative to traditional models such as partially observable Mark...
    Michael R. James, Satinder P. Singh, Michael L. Li...
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    ICMLA
    2004
    109views Machine Learning» more  ICMLA 2004»
    Variable resolution discretization in the joint space
    13 years 6 months ago
    Variable resolution discretization in the joint space
    Download  highentropy.com
    We present JoSTLe, an algorithm that performs value iteration on control problems with continuous actions, allowing this useful reinforcement learning technique to be applied to p...
    Christopher K. Monson, David Wingate, Kevin D. Sep...
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    ICMLA
    2004
    176views Machine Learning» more  ICMLA 2004»
    A new discrete binary particle swarm optimization based on learning automata
    13 years 6 months ago
    A new discrete binary particle swarm optimization based on learning automata
    Download  ceit.aut.ac.ir
    : The particle swarm is one of the most powerful methods for solving global optimization problems. This method is an adaptive algorithm based on social-psychological metaphor. A po...
    Reza Rastegar, Mohammad Reza Meybodi, Kambiz Badie
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    ICMLA
    2004
    138views Machine Learning» more  ICMLA 2004»
    LASSO: a learning architecture for semantic web ontologies
    13 years 6 months ago
    LASSO: a learning architecture for semantic web ontologies
    Download  cse.unl.edu
    Expressing web page content in a way that computers can understand is the key to a semantic web. Generating ontological information from the web automatically using machine learni...
    Christopher N. Hammack, Stephen D. Scott
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    ICMLA
    2004
    113views Machine Learning» more  ICMLA 2004»
    Two new regularized AdaBoost algorithms
    13 years 6 months ago
    Two new regularized AdaBoost algorithms
    Download  plaza.ufl.edu
    AdaBoost rarely suffers from overfitting problems in low noise data cases. However, recent studies with highly noisy patterns clearly showed that overfitting can occur. A natural s...
    Yijun Sun, Jian Li, William W. Hager
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